Zero setup, zero training
No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
Credit card statement → CSV
Convert Credit card statement to CSV
Drop a credit card statement into Docusift and get a clean CSV back in seconds. No templates to maintain, no model training, no manual cleanup. Works on native PDFs, scans, and mobile photos alike.
Credit card statements bury the transaction list under a summary block, marketing inserts, and rewards tables, then split charges across two columns per page. Merchant names arrive abbreviated and padded with store codes, and a refund can look identical to a purchase until you read the sign.
Docusift isolates the transaction list from the summary noise, normalizes each merchant name, and tags purchases against refunds by sign. Every charge lands as a row with its date, cleaned merchant, and amount — ready to categorize or reconcile.
The CSV export is one clean row per record with headers on top, so it opens straight in Excel or Google Sheets and uploads into any tool that reads comma-separated values — no cleanup pass first.
| Date | Merchant | Category | Amount |
|---|---|---|---|
| 2026-03-04 | UBER *TRIP | Travel | 18.60 |
| 2026-03-07 | AMZN MKTP US*2K4 | Supplies | 124.32 |
| 2026-03-11 | ADOBE *CREATIVE CLD | Software | 59.99 |
| 2026-03-15 | REFUND — DELTA AIR | Travel | -212.00 |
Example structured output
{
"document_type": "credit_card_statement",
"card_last4": "8842",
"statement_period": "2026-03-01 to 2026-03-31",
"new_balance": 1043.71,
"minimum_due": 35.00,
"transactions": [
{ "date": "2026-03-07", "merchant": "Amazon Marketplace", "raw_descriptor": "AMZN MKTP US*2K4", "category": "Supplies", "amount": 124.32, "confidence": 0.98 },
{ "date": "2026-03-15", "merchant": "Delta Air Lines", "category": "Travel", "amount": -212.00, "type": "refund", "confidence": 0.97 }
]
}Why teams choose Docusift
98%+ field accuracy
Every value ships with a confidence score and a citation back to the source pixel in the original document.
Fast turnaround
Seconds per document, not minutes. Built for production pipelines, not batch jobs.
Privacy first
Workspace-isolated processing, encrypted in transit and at rest, and one-click data deletion.
Frequently asked questions
How do I convert a credit card statement to CSV?
Upload the credit card statement to Docusift via the dashboard or REST API. Docusift extracts every field, row, and table, then returns a clean CSV ready to download or push to your accounting tool — typically inside a second per page.
Is there a free credit card statement to CSV converter?
Yes. Docusift's free tier covers 100 pages per month with no credit card required. That's enough to convert most monthly batches of credit card statement for a small team.
What credit card statement layouts are supported?
Any layout. Docusift parses the document visually rather than matching against a template, so it works on layouts it has never seen before — including multi-page, multi-column, and scanned variants.
Will the CSV match the original column order?
Yes. Docusift preserves the source structure where it makes sense and lets you remap columns or fields via a single config call when you need a different shape.
Do I need to train a model first?
No. Docusift recognizes hundreds of document types out of the box. Custom fields are configured with a single sentence — no labeled training data required.
How is pricing calculated?
Pay per page processed. There is a free tier for evaluation and volume discounts for production workloads. No seat fees.
Can Docusift handle scanned or photographed documents?
Yes. The pipeline runs OCR + layout analysis + extraction in one pass, so scans, mobile photos, and native PDFs all flow through the same endpoint.
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Start converting credit card statement to csv now
Free tier includes 100 pages per month. No credit card required.
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